Cited by 8Social Media in Health EducationEducational Technology in LearningInnovations in Medical Education

Medical students and their blogs

Bains, Manpreet, Beckett, Nicola, Walkling, Jennie, Sandars, John·2007·Medical Teacher

Abstract

Dear Sir,Blogs have become an important part of life for many young people in their late teens or early twenties (Oblinger & Oblinger 2005). We were aware from our personal experience that some med...

Integrity signals

Registry

Crossref · 10.1080/01421590701288416

Cites

5 of 5 references verified0 citation errors · 0 not checkable

Statistics

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Claims the paper makes

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Claims other papers make about this one

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  • Previous research showed that more blogs are written by men than by women.

    “Regarding gender, our findings contrasted with previous research showing that more blogs are written by men than by women.6,7,54”
  • Health bloggers tend to be younger and better educated than the general population.

    “Like other bloggers—and like people who seek health information on the Internet2,52,53—health bloggers tend to be younger and better educated than the general population.6,7,54”

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Authors
Bains, M., Beckett, N., Walkling, J., & Sandars, J.
Corresponding author
Sandars, John
Venue
Medical Teacher
Published
2007-01
Volume
29
Issue
5
Pages
512-512
ISSN
  • 0142-159X (ISSN-L)
  • 1466-187X
OpenAlex
W2040098627
Cited by
8
References
5
Citations by year
2015: 1 · 2014: 1
FWCI
1.47
Type
journal article
Language
en
Open access
closed
Locations
  • Medical Teacher (publishedVersion)
  • PubMed (publishedVersion)
Topics
  • Social Sciences › Health › Social Media in Health Education
  • Physical Sciences › Computer Science › Information Systems › Educational Technology in Learning
  • Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Innovations in Medical Education
Keywords
blogs, medical students, blogging, social media
MeSH terms
Female, Geography, Humans, Male, Students, Medical, Global Health, Writing, Internet

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

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